# benji-carr/SPDCallDashboard SLOC report

> As of 2026-09-12 (commit a345e3b59ccf), benji-carr/SPDCallDashboard contains 41,561 total lines: 33,823 code, 1,309 comments, 6,429 blank, across 91 files in 7 languages (top: Python 69.9%). Custom configuration (tests excluded, docs excluded, generated excluded). Counted with tokei via OctoCounts.

benji-carr/SPDCallDashboard has 33,823 source lines of code out of 41,561 total lines across 91 files, counted from the a345e3b59ccf41e7ce01d294a1ef2455088faf4b ref at commit a345e3b59ccf by the OctoCounts tokei engine on 2026-09-12. The report is cached by commit, tokei version, and analysis options, so recounting the same revision returns exactly these numbers.

OctoCounts produced this report by resolving benji-carr/SPDCallDashboard to commit a345e3b59ccf, downloading the repository source archive, and counting every source file with tokei, the open-source line counter written in Rust. The table below breaks the count down by programming language into files, total lines, code lines, comment lines, and blank lines, so the figures can be compared across languages and projects. Results are cached by commit, tokei version, and analysis options, so counting the same revision again reproduces exactly these numbers.

## Repository size insights

This is a medium-sized codebase by counted code lines. Code represents 81.4% of all lines, comments represent 3.1%, and the repository averages 372 code lines per file. Python accounts for 69.9% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| Python | 71 | 28,890 | 23,627 | 624 | 4,639 |
| Jupyter Notebooks | 11 | 11,374 | 9,200 | 557 | 1,617 |
| CSS | 1 | 869 | 694 | 41 | 134 |
| JSON | 3 | 300 | 300 | 0 | 0 |
| INI | 1 | 2 | 2 | 0 | 0 |
| Markdown | 2 | 95 | 0 | 58 | 37 |
| Plain Text | 2 | 31 | 0 | 29 | 2 |

Top language (Python 69.9%). Generated at 2026-09-12T21:53:56.191996550+00:00. Canonical report: https://octocounts.com/github/benji-carr/SPDCallDashboard

## Reproduce this report

[Reproduce this exact report and configuration](https://octocounts.com/github/benji-carr/SPDCallDashboard/commit/a345e3b59ccf41e7ce01d294a1ef2455088faf4b?analysis=%7B%22ignoredDirs%22%3A%5B%5D%2C%22ignoredLanguages%22%3A%5B%5D%2C%22profile%22%3A%22default%22%2C%22includeDocs%22%3Afalse%2C%22includeTests%22%3Afalse%2C%22includeGenerated%22%3Afalse%7D).

## Report FAQ

### How many lines of code does benji-carr/SPDCallDashboard have?

benji-carr/SPDCallDashboard has 41,561 total lines, including 33,823 code lines, 1,309 comment lines, and 6,429 blank lines.

### How was the benji-carr/SPDCallDashboard line count measured?

OctoCounts resolved the public GitHub repository to commit a345e3b59ccf, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for benji-carr/SPDCallDashboard?

This OctoCounts report was generated from a345e3b59ccf41e7ce01d294a1ef2455088faf4b at commit a345e3b59ccf on 2026-09-12T21:53:56.191996550+00:00.

## Similar repository reports

- [vllm-project/vllm-metal](https://octocounts.com/github/vllm-project/vllm-metal) — Python, 33,790 code lines
- [can4hou6joeng4/boss-agent-cli](https://octocounts.com/github/can4hou6joeng4/boss-agent-cli) — Python, 32,772 code lines
- [layingfish/SID-Repro](https://octocounts.com/github/layingfish/SID-Repro) — Python, 35,192 code lines
- [google/agents-cli](https://octocounts.com/github/google/agents-cli) — Python, 35,436 code lines
- [NanmiCoder/MediaCrawler](https://octocounts.com/github/NanmiCoder/MediaCrawler) — Python, 31,885 code lines
- [Kizzuwatnaa/DLSS5-Autopilot](https://octocounts.com/github/Kizzuwatnaa/DLSS5-Autopilot) — Python, 30,940 code lines

## Related OctoCounts pages

- [Recently analyzed repositories](https://octocounts.com/recent)
- [Popular SLOC reports](https://octocounts.com/popular)
- [Trending GitHub repositories](https://octocounts.com/trending)
- [Hall of Monoliths](https://octocounts.com/hall-of-monoliths)
- [TensorFlow vs PyTorch](https://octocounts.com/compare/tensorflow-vs-pytorch)
- [Django vs Ruby on Rails](https://octocounts.com/compare/django-vs-rails)
- [Laravel vs Django](https://octocounts.com/compare/laravel-vs-django)
- [GitHub SLOC counter guide](https://octocounts.com/docs/github-sloc-counter)
- [Counting methodology](https://octocounts.com/docs/methodology)
- [SLOC and code metrics glossary](https://octocounts.com/docs/glossary)
- [Original research: how filtering changes SLOC counts](https://octocounts.com/research)
- [OctoCounts API docs](https://octocounts.com/docs/api)